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Concrete gravity dams model parameters updating using static measurements

Sevieri, G; Andreini, M; De Falco, A; Matthies, HG; (2019) Concrete gravity dams model parameters updating using static measurements. Engineering Structures , 196 , Article 109231. 10.1016/j.engstruct.2019.05.072. Green open access

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Abstract

The structural control of concrete gravity dams is of primary importance. In this context, numerical models play a fundamental role both to assess the vulnerability of gravity dams and to control their behaviour during normal operativity and after extreme events. In this regard, data monitoring represents an important source of information for numerical model calibrations. This study proposes a novel probabilistic procedure, defined in the Bayesian framework, to calibrate the parameters of finite elements models of dams. To this aim, monitoring data and the results of material tests are used as reference information. The computational burden is reduced by using a new hybrid-predictive model of the dam displacements. An application on an Italian dam shows the feasibility of the proposed procedure.

Type: Article
Title: Concrete gravity dams model parameters updating using static measurements
Open access status: An open access version is available from UCL Discovery
DOI: 10.1016/j.engstruct.2019.05.072
Publisher version: https://doi.org/10.1016/j.engstruct.2019.05.072
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Bayesian updating, Probabilistic models, General polynomial chaos expansion, Fourier analysis, Gravity dams, Model parameters identification
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10082901
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